We argue that statistical techniques should be used more broadly in climate prediction, leading to improved accuracy and guide model development. Prior to winter 2017/2018, a statistical model correctly predicted cold across the continents of the Northern Hemisphere and amplified warmth in the Arctic, which was mostly missing in the dynamical model forecasts.

Composite image representing the visual vernacular of influential climate change organizations on Facebook, comprising the most engaged with climate change images posted on the platform. Visual research and the production of new visual research products is one way of expanding our knowledge of the social media life of climate change, beyond dominant methods which focus on text. Design: Beatrice Gobbo, Andrea Benedetti and Federica Bardelli. Source: Pearce et al. (2018).

We demonstrate that the prevailing means of contributing to socio‐scientific controversies available to experts are crippled, not by public indifference or ignorance, but by experts' allegiance to the assumption that information transfer can prompt behavior change. Experts need to broaden the scope of approaches they are willing to undertake. We propose relationship building as an alternative that can avoid resuscitating the deficit model.

Vulnerability is a function of exposure, sensitivity, and adaptive capacity. Adaptive capacity that is low, relative to exposure and sensitivity, contributes to high vulnerability (top). By contrast, higher adaptive capacity helps reduce the effects of exposure and sensitivity, and in turn reduces vulnerability (bottom). (Reprinted with permission from Engle (2011). Copyright 2011 Elsevier Science).

While a variety of factors wreak havoc on subsistent food systems in the Bedamuni tribe of Western Province, Papua New Guinea causing loss and damage to critical food crops, changing local climatic conditions such as precipitation regimes have increasingly had the most impact (photo: Guy Jackson, 2018).